Efficient Emergency Access and Privacy-Preserving Healthcare Data Management Using Blockchain Technology

Sagnik Datta, Suyel Namasudra and Ruben Gonzalez Crespo ()
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Sagnik Datta: National Institute of Technology Agartala, Department of Computer Science and Engineering
Suyel Namasudra: National Institute of Technology Agartala, Department of Computer Science and Engineering
Ruben Gonzalez Crespo: Department of Computer Science and Technology, Universidad Internacional de La Rioja

A chapter in Health Technologies and Demographic Challenges, 2025, pp 181-189 from Springer

Abstract: Abstract Efficient and secure management of Electronic Health Records (EHR) is essential in modern healthcare to enhance patient care while safeguarding data privacy. In this work, a secure healthcare data management system is designed to enable privacy-preserving data sharing and efficient access control using blockchain technology. Current healthcare data systems often lack the flexibility and granular control required for secure data access, especially during emergency situations. To address this, the proposed system integrates blockchain with advanced cryptographic methods, such as Fuzzy Attribute-Based Encryption (Fuzzy ABE) and Elliptic Curve Cryptography (ECC), ensuring fine-grained, role-based access. The system is divided into distinct phases for data encryption, metadata handling, emergency access, key retrieval, and audit logging with each phase managed through smart contracts. Blockchain records serve as immutable logs, allowing transparent data access monitoring. The Practical Byzantine Fault Tolerance (PBFT) consensus ensures swift agreement across nodes, supporting secure metadata uploads without the risk of malicious alterations. The proposed framework offers a robust solution for secure, flexible, and efficient healthcare data management tailored for emergency access and privacy maintenance.

Keywords: Fuzzy attribute-based encryption; Practical Byzantine fault tolerance; Elliptic curve cryptography; Elliptic curve digital signature algorithm; Cloud storage (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-94901-2_15

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